Lesson 3.1 Flashcards

1
Q

managers face decisions characterized by 2 conditions:

A

1) strategic nature

2) incomplete info

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2
Q

define risk

A

hazard or chance of loss

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3
Q

define probability

A

the likelihood or chance that something will happen

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4
Q

what is P(outcome A) with frequency definition of probability

A

r / R where R is number of times situation is repeated and if outcome A occurs r times

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5
Q

define frequency definition of probability

A

an event’s limit of frequency in a large number of trials

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6
Q

define subjective definition of probability

A

the degree of a manager’s confidence or belief that the event will occur

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7
Q

define probability distribution

A

a table that lists all possible outcomes and assigns the probability of occurrence to each outcome

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8
Q

2 rules in probability distribution

A

1) probabilities must sum to 1 if outcomes are mutually exclusive
2) probabilities cannot be less than 0 or greater than 1

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9
Q

formula for expected value of profit

A

sum of profit * probability for each outcome

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10
Q

define decision tree

A

a diagram that helps managers visualize their strategic future

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11
Q

what does decision tree represent?

A

represented situation as series of choices, each of which is depicted by a fork

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12
Q

explain decision fork

A

represents choice by which managers must commit to a strategy; represented by squares

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13
Q

explain chance fork

A

represents point at which chance influences the outcome

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14
Q

what do we do when a branch is nonoptimal?

A

we place 2 vertical lines through it

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15
Q

value of perfect info

A

the increase in expected profit if manager can obtain completely accurate info concerning future outcomes

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16
Q

why do managers purchase info?

A

to reduce uncertainty from imperfect or incomplete info

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17
Q

what is expected value of perfect info also?

A

reservation price for obtaining info (expected profit with perfect info - expected profit without perfect info)

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18
Q

define utility function

A

function used to identify the optimal strategy for managers conditional on their attitude toward risk / level of satisfaction attached to each possible outcome

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19
Q

what is the rational manager?

A

one who maximizes expected utility

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20
Q

what is utility?

A

value that is attached to all possible outcomes of the decision by manager

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21
Q

relationship between utility and monetary gain

A

Utility generally increases with monetary gain

22
Q

x axis and y axis of utility function

A

profit/wealth on x axis and utility on y axis

23
Q

define risk averters

A

when managers prefer a choice with a more certain outcome to one with a less certain outcome, when confronted with gambles offering equal expected wealth

24
Q

graph of utility function of risk averters

A

Graph increases with decreasing slope; diminishing marginal utility

25
relationship between utility and monetary gain for risk averters
Increase in monetary gain of $1 is associated with smaller and smaller increases in utility as wealth/profit grows
26
define risk lovers
when managers prefer a gamble with less certain outcome to one with a more certain outcome when confronted with gamblers offering equal expected wealth
27
relationship between utility and monetary gain for risk lovers
Increase in monetary gain of $1 is associated with larger and larger increases in utility as wealth/profit grows
28
graph of utility function of risk lovers
Graph increases with increasing slope; increasing marginal utility
29
define risk neutral
when a manager maximizes wealth, regardless of risk
30
relationship between utility and monetary gain for risk neutral
Increase of $1 in monetary gain is associated with constant increase in utility as wealth/profit grows
31
graph of utility function of risk neutral
Increasing graph with constant slope; constant marginal utility
32
utility function for risk neutral
utility is linear function of profit/wealth (U = a + b(profit)) where b is positive
33
expected utility for risk neutral
E(U) = a + bE(profit)
34
when is expected utility maximized for risk neutral
Expected utility can only be maximum when expected profit/wealth is maximum
35
define standard deviation
a measure of variation or dispersion of a payoff about its expected value
36
formula for SD
(sum of probability of occurrence * (profit - expected profit)^2)^0.5
37
what does larger SD imply and why
Larger standard deviation implies greater risk; there is a greater likelihood probability would depart greatly from expected value
38
what do managers assume when using SD as measure of risk
When using standard deviation as measure of risk, managers assume scale of project is held constant
39
do larger investments have larger standard profit deviations?
yes
40
how do we take into account scale of project when measuring risk?
To take into account of scale of project, measure of relative risk is required, this is the coefficient of variation
41
formula for coefficient of variation
V = standard deviation / E(profit)
42
define certainty equivalent approach
when a manager is indifferent about certainty and a gamble, the certainty equivalent (Rather than expected profit) can identify if the manager is a risk averter, risk lover, or risk neutral
43
if certainty equivalent < expected net worth
risk averter
44
if certainty equivalent > expected net worth
risk lover
45
if certainty equivalent = expected net worth
risk neutral
46
how can we estimate certainty equivalent?
indifference curves
47
why do indifference curves for certainty equivalents slope upwards to the right as opposed to the ones in chp 3?
because the manager prefers less risk to more risk
48
graph of indifference curves for certainty equivalent axes
Indifference curve graph has x-axis expected net worth and y-axis is risk (coefficient of variation), x axis where y = 0 is certainty equivalent
49
what will indifference curve be if risk neutral?
horizontal
50
what do indifference curves show?
certainty equivalent corresponding to various uncertain outcomes
51
how to find risk premium from indifference curves?
from riskiness of investment, do ERR at riskiness - ERR at y intercept
52
range of values SD can take
0